Netflix's products are targeted towards the lower-middle class and up, specifically targeted to people (or households) with income levels of $30,000 and up. In addition, Netflix offers movie and TV titles that appeal to many racial/ethnic groups with its array of foreign and international films.
A great example of market saturation is Netflix. While new streaming services are in the introduction and growth stages, the market originator has reached its saturation point.
In the fourth quarter of 2019, Netflix accounted for 40% of the market. By Q3 2020, it was at 36%. Below is where each major streaming service stands in market share in the US as of Q4 2020, according to data from Antenna: Netflix — 34%
Somebody whose job is to provide analytics or research should always be someone who is very good at quantitative analysis. They should be good with math and numbers, because their job is to analyze a business. The same goes for research. A good researcher is good at math because they have to analyze large datasets. This person would also be pretty detail-oriented because they need to make sure that they are not making small mistakes, as small mistakes could result in poor decisions that come out of their analysis.
Does that make sense?
Demand supply and market equilibrium will have many changes due to change in the quantity of a supplied product.
Answer:
The correct answer is Generalizability.
Explanation:
The generalizability theory (theory G) allows to measure the reliability of a test by quantifying the importance of each of its sources of variability. The error is redefined, as a condition or facet of measurement, using the generalizability coefficient as a measure to estimate reliability. This approach does not contradict the fundamental approaches of the classical theory of tests, but can be seen as an extension of it.
You don’t ask to be born but are expected to do everything asked of you